New serverless pattern - apigw-lambda-websearch-bedrock-cdk#3183
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…h + Bedrock Deploy Amazon API Gateway + AWS Lambda that orchestrates Amazon Bedrock AgentCore Web Search for live web facts, then Amazon Bedrock for inference to produce cited answers grounded in current information. Architecture: API Gateway -> Lambda -> AgentCore Web Search (MCP/SigV4) -> Bedrock Claude (RAG with live web as knowledge base) -> cited response. Eliminates need for vector databases or embedding pipelines — the web IS the knowledge base, always current.
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Description
Grounded AI answers using Amazon Bedrock AgentCore Web Search + Amazon Bedrock. Deploys an Amazon API Gateway REST API backed by an AWS Lambda function that searches the live web for current facts, then uses Amazon Bedrock to synthesize accurate, cited answers.
Architecture
Amazon API Gateway → AWS Lambda → Amazon Bedrock AgentCore Web Search (MCP/SigV4) → Amazon Bedrock Claude (inference with citations) → grounded response with source URLs
What makes this different
This is RAG with the live web as the knowledge base — no vector database, no embedding pipeline, no data ingestion. The web is always current.
The Lambda orchestrates a genuine two-step workflow:
Neither step can replace the other. The gateway connector provides facts; Bedrock provides reasoning and citation formatting.
Deployed and tested